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Record W2806016224 · doi:10.2217/cer-2017-0029

Comparison of EQ-5D and SF-36 in untreated patients with symptoms of intermittent claudication

2018· article· en· W2806016224 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Comparative Effectiveness Research · 2018
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsGlaxoSmithKline (Canada)University of Alberta
FundersUniversiteit Maastricht
KeywordsMedicineEQ-5DValuation (finance)Intermittent claudicationQuality of life (healthcare)Physical therapyTariffQuality-adjusted life yearHealth related quality of lifeArterial diseaseDiseaseFinanceSurgeryInternal medicineCost effectiveness

Abstract

fetched live from OpenAlex

AIM: To compare health-related quality of life (HRQoL) descriptions and utility scores in newly diagnosed peripheral arterial disease (PAD) patients, using two most widely used instruments, EuroQol 5D (EQ-5D) and Medical Outcome Study 36-item Short-Form Health Status Survey (SF-36). METHODS: Patients' self-assessment of HRQoL was measured by the Dutch versions of the EQ-5D and SF-36 in the 204 patients. RESULTS: Mean utility scores ranged from 0.675 for Short-Form Six-Dimension, 0.648 for the EQ-5D UK tariff and 0.715 for the Dutch EQ-5D tariff. A moderate correlation between the utility scores was found due to different valuation techniques of these instruments. CONCLUSION: Both instruments have clinical validity for use in the PAD and can be used alongside each other to provide a holistic assessment of the HRQoL. Before using these two instruments interchangeably for utility score calculations and healthcare resource allocation, a thorough sensitivity analysis is necessary to explore the robustness of the value argument based on these utility scores.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.434
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it